文章基本信息

标题：Atmospheric Turbulence Degraded Image Restoration Using Back Propagation Neural Network
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作者：Azad Singh ; Rajeev Kumar Singh
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：181-194
DOI：10.14257/ijsip.2015.8.12.18
出版社：SERSC
摘要：Atmospheric blur is the distortion of image due to long time exposure, fog, wind speed and due to randomly change in refractive index of air through which light travels. Atmospheric blur also occur through non-uniform geometric deformation of image. In this article, we propose a method for restoring atmospheric degraded image using artificial neural network. In proposed methodology use multilayer feed-forward network which trained by error back propagation algorithm and randomly initialize weights of network. This technique provides better result to restore atmospheric blur image and also in the presence of noise.
关键词：Back Propagation; ANN (Artificial Neural Network); atmospheric ; turbulence; PSNR (Peak Signal to Noise Ratio)